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Summer Google Earth Engine information

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$12

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$37

How much do summer google earth engine jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for summer google earth engine in the United States is $22.08, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Summer Google Earth Engine vs Summer GIS Intern?

AspectSummer Google Earth EngineSummer GIS Intern
Required CredentialsKnowledge of remote sensing, programming (Python, JavaScript), GIS fundamentalsBasic GIS skills, coursework in geography or related fields, some programming knowledge
Work EnvironmentResearch-focused, often remote or in-office, tech-driven projectsFieldwork, office, or lab settings, supporting GIS data collection and analysis
Employer & Industry UsageTech companies, research institutions, environmental agenciesGovernment agencies, environmental consultancies, universities
Comparison Search IntentUnderstanding technical skills and project scopeExploring internship opportunities and required skills

The Summer Google Earth Engine role focuses on advanced remote sensing and programming skills to analyze geospatial data using Google Earth Engine platform. In contrast, a Summer GIS Intern typically supports GIS data management and analysis with foundational GIS knowledge. Both roles are valuable in geospatial industries but differ in technical depth and project focus.

What is a Summer Google Earth Engine position?

A Summer Google Earth Engine position typically refers to a seasonal internship or research role where students or early-career professionals use Google Earth Engine (GEE) during the summer months. Google Earth Engine is a cloud-based platform for planetary-scale environmental data analysis. Interns or researchers in this position work on projects involving remote sensing, geospatial data analysis, and visualization using GEE tools. The role often involves processing satellite imagery, developing geospatial applications, and contributing to environmental or climate science projects. These positions provide hands-on experience with cutting-edge technology and real-world datasets.

What are the key skills and qualifications needed to thrive as a Summer Google Earth Engine Intern, and why are they important?

To thrive as a Summer Google Earth Engine Intern, you typically need a background in geography, environmental science, or computer science, along with experience in remote sensing and geospatial analysis. Familiarity with Google Earth Engine, programming languages like JavaScript or Python, and GIS platforms is highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help interns interpret data and collaborate with multidisciplinary teams. These abilities are essential for extracting actionable insights from complex spatial data and contributing to impactful environmental or research projects.

What types of projects and collaborations can I expect as a Summer Google Earth Engine intern?

As a Summer Google Earth Engine intern, you’ll typically work on geospatial analysis projects that leverage satellite imagery and big data to address environmental, agricultural, or urban challenges. You’ll collaborate closely with data scientists, software engineers, and researchers, often working in multidisciplinary teams to design, implement, and share meaningful analyses. Interns may also have opportunities to contribute to open-source tools, present findings to stakeholders, and participate in regular team meetings or seminars. This collaborative environment fosters learning and skill development, making it an excellent stepping stone for careers in geospatial technology or environmental data science.
More about Summer Google Earth Engine jobs
What cities are hiring for Summer Google Earth Engine jobs? Cities with the most Summer Google Earth Engine job openings:
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Summer Google Earth Engine jobs near you
Infographic showing various Summer Google Earth Engine job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.
Expert and Senior Imagery Scientist 117-123 with Security Clearance

Expert and Senior Imagery Scientist 117-123 with Security Clearance

IC-CAP

Springfield, VA • On-site

$95K - $130K/yr

Other

Posted 8 days ago

Job description

Expert and Senior Imagery Scientist Expert SAR Imagery Scientist - Education and Experience Required: Minimum 18 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience using SARPy and Matlab SAR toolbox Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) Experience exploiting SAR to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine Experience communicating with technical and non-technical audiences on availability and capabilities of SAR Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Experience applying CV and ML techniques to SAR imagery and data Senior SAR Imagery Scientist - Education and Experience Required: Minimum 10 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience using SARPy and Matlab SAR toolbox Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) Experience exploiting SAR to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine Experience communicating with technical and non-technical audiences on availability and capabilities of SAR Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Experience applying CV and ML techniques to SAR imagery and data Expert EO Imagery Scientist - Education and Experience Required: Minimum 18 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as an EO expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience exploiting EO to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis. Experience communicating with technical and non-technical audiences on availability and capabilities of EO Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Exhibit experience applying CV and ML techniques to EO imagery and data Senior EO Imagery Scientist - Education and Experience Required: Minimum 10 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as an EO expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience exploiting EO to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis. Experience communicating with technical and non-technical audiences on availability and capabilities of EO Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Exhibit experience applying CV and ML techniques to EO imagery and data Security Clearance: * Current TS/SCI and the willingness to sit for a polygraph, if needed IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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